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Surface Roughness Measurement of Parts Manufactured by FDM Process using Light Sectioning Vision System

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Abstract

Fused Deposition Modeling (FDM) is a process of developing prototypes by depositing layers of material according to predetermined cross sectional geometry. Quality of the produced part is highly dependent on surface finish. This work describes a methodology to calculate the surface roughness of part manufactured using FDM process. The surface roughness values are measured using conventional stylus instrument and light sectioning vision system. In conventional stylus instrument method, diamond tipped stylus destroys the surface topography. Light sectioning method is non-contact method hence it overcomes this problem. In light sectioning method microscope and light source are arranged in such a manner, as both are inclined at an angle of 45° to the normal plane. The light section is projected on surface of profile at an incident angle of 45°. The reflected light can be observed using microscope. The camera is connected with microscope to capture the micrograph. These images are analyzed and processed using various image processing techniques. Experimental results are validated by comparing final results with conventional system.

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Acknowledgment

This paper is a revised and expanded version of an article entitled “Surface Roughness Measurement of Parts Manufactured by FDM Process using Light Sectioning Vision System” presented in “International Conference on Additive Manufacturing, 3D printing and 3D Scanning” held at Chennai, India during February 6–7, 2015.

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Authors and Affiliations

  1. Department of Production Engineering and Industrial Management, College of Engineering, Pune, 411005, India

    A. S. Kelkar, N. N. Kumbhar & A. V. Mulay

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  1. A. S. Kelkar
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  2. N. N. Kumbhar
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  3. A. V. Mulay
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Correspondence to A. S. Kelkar.

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Kelkar, A.S., Kumbhar, N.N. & Mulay, A.V. Surface Roughness Measurement of Parts Manufactured by FDM Process using Light Sectioning Vision System. J. Inst. Eng. India Ser. C 99, 429–433 (2018). https://doi.org/10.1007/s40032-016-0341-y

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  • DOI: https://doi.org/10.1007/s40032-016-0341-y

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